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Where does bicycling for health happen? Analysing volunteered geographic information through place and plexus

Author

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  • Griffin, Greg Phillip

    (The University of Texas at San Antonio)

  • Jiao, Junfeng

Abstract

Research on the role of bicycling for health through physical activity has been limited by the lack of information on where bicyclists ride. New big data sources available through smartphone-based applications provide a rich source to provide bicycle volume data more comparable to the scale of information available for automotive and public transit modes. In the case of smartphone apps for fitness tracking, results of this data can be used similar to the growing application of global positioning systems for automotive travel surveying. The authors evaluate data from Travis County, Texas for the purpose of determining where bicyclists ride, primarily for fitness purposes. Ride trip volumes are evaluated with residential and employment density, land use diversity, bicycle facilities and terrain to characterize places chosen for bicycling for health. Though limited to bicycle rides and routes voluntarily logged using the smartphone app, this method provides promise for applications in multi-modal transportation planning and health impact assessment studies.

Suggested Citation

  • Griffin, Greg Phillip & Jiao, Junfeng, 2015. "Where does bicycling for health happen? Analysing volunteered geographic information through place and plexus," SocArXiv 5gy3u, Center for Open Science.
    • Handle: RePEc:osf:socarx:5gy3u
    DOI: 10.31219/osf.io/5gy3u
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    Cited by:

    1. Raturi, Varun & Hong, Jinhyun & McArthur, David Philip & Livingston, Mark, 2021. "The impact of privacy protection measures on the utility of crowdsourced cycling data," Journal of Transport Geography, Elsevier, vol. 92(C).
    2. Spinney, Justin & Lin, Wen-I, 2021. "A vehicle for valorising the labour power of commuting: The politics of mobility fixing in Shanghai's Dockless Public Bike Sharing Sector," Journal of Transport Geography, Elsevier, vol. 94(C).
    3. Yeran Sun & Yunyan Du & Yu Wang & Liyuan Zhuang, 2017. "Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data," IJERPH, MDPI, vol. 14(6), pages 1-12, June.
    4. Tineke de Jong & Lars Böcker & Christian Weber, 2023. "Road infrastructures, spatial surroundings, and the demand and route choices for cycling: Evidence from a GPS-based mode detection study from Oslo, Norway," Environment and Planning B, , vol. 50(8), pages 2133-2150, October.
    5. Yeran Sun & Amin Mobasheri, 2017. "Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data," IJERPH, MDPI, vol. 14(3), pages 1-19, March.
    6. Behrendt, Frauke, 2016. "Why cycling matters for Smart Cities. Internet of Bicycles for Intelligent Transport," Journal of Transport Geography, Elsevier, vol. 56(C), pages 157-164.
    7. Stella R. Harden & Nadine Schuurman & Peter Keller & Scott A. Lear, 2022. "Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis," IJERPH, MDPI, vol. 19(21), pages 1-13, November.
    8. Yeran Sun & Amin Mobasheri & Xuke Hu & Weikai Wang, 2017. "Investigating Impacts of Environmental Factors on the Cycling Behavior of Bicycle-Sharing Users," Sustainability, MDPI, vol. 9(6), pages 1-12, June.
    9. Havinga, Ilan & Bogaart, Patrick W. & Hein, Lars & Tuia, Devis, 2020. "Defining and spatially modelling cultural ecosystem services using crowdsourced data," Ecosystem Services, Elsevier, vol. 43(C).
    10. Pontin, Francesca & Lomax, Nik & Clarke, Graham & Morris, Michelle A., 2021. "Socio-demographic determinants of physical activity and app usage from smartphone data," Social Science & Medicine, Elsevier, vol. 284(C).
    11. Alattar, Mohammad Anwar & Cottrill, Caitlin & Beecroft, Mark, 2021. "Public participation geographic information system (PPGIS) as a method for active travel data acquisition," Journal of Transport Geography, Elsevier, vol. 96(C).
    12. Md Mintu Miah & Kate Kyung Hyun & Stephen P. Mattingly & Hannan Khan, 2023. "Estimation of daily bicycle traffic using machine and deep learning techniques," Transportation, Springer, vol. 50(5), pages 1631-1684, October.
    13. Lindsey Conrow & Siân Mooney & Elizabeth A Wentz, 2021. "The association between residential housing prices, bicycle infrastructure and ridership volumes," Urban Studies, Urban Studies Journal Limited, vol. 58(4), pages 787-808, March.
    14. Mário Meireles & Paulo J. G. Ribeiro, 2020. "Digital Platform/Mobile App to Boost Cycling for the Promotion of Sustainable Mobility in Mid-Sized Starter Cycling Cities," Sustainability, MDPI, vol. 12(5), pages 1-27, March.
    15. Rachel Dolan & James M. Bullock & Julia P. G. Jones & Ioannis N. Athanasiadis & Javier Martinez-Lopez & Simon Willcock, 2021. "The Flows of Nature to People, and of People to Nature: Applying Movement Concepts to Ecosystem Services," Land, MDPI, vol. 10(6), pages 1-18, May.
    16. McArthur, David Philip & Hong, Jinhyun, 2019. "Visualising where commuting cyclists travel using crowdsourced data," Journal of Transport Geography, Elsevier, vol. 74(C), pages 233-241.
    17. Jestico, Ben & Nelson, Trisalyn & Winters, Meghan, 2016. "Mapping ridership using crowdsourced cycling data," Journal of Transport Geography, Elsevier, vol. 52(C), pages 90-97.
    18. Kyuhyun Lee & Ipek N. Sener, 2019. "Understanding Potential Exposure of Bicyclists on Roadways to Traffic-Related Air Pollution: Findings from El Paso, Texas, Using Strava Metro Data," IJERPH, MDPI, vol. 16(3), pages 1-20, January.
    19. Mark Livingston & David McArthur & Jinhyun Hong & Kirstie English, 2021. "Predicting cycling volumes using crowdsourced activity data," Environment and Planning B, , vol. 48(5), pages 1228-1244, June.
    20. Hochmair, Hartwig H. & Bardin, Eric & Ahmouda, Ahmed, 2019. "Estimating bicycle trip volume for Miami-Dade county from Strava tracking data," Journal of Transport Geography, Elsevier, vol. 75(C), pages 58-69.
    21. Munira, Sirajum & Sener, Ipek N., 2020. "A geographically weighted regression model to examine the spatial variation of the socioeconomic and land-use factors associated with Strava bike activity in Austin, Texas," Journal of Transport Geography, Elsevier, vol. 88(C).
    22. Nina Cesare & Pallavi Dwivedi & Quynh C. Nguyen & Elaine O. Nsoesie, 2019. "Use of social media, search queries, and demographic data to assess obesity prevalence in the United States," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-9, December.
    23. Loidl, Martin & Traun, Christoph & Wallentin, Gudrun, 2016. "Spatial patterns and temporal dynamics of urban bicycle crashes—A case study from Salzburg (Austria)," Journal of Transport Geography, Elsevier, vol. 52(C), pages 38-50.
    24. Jill Walker Rettberg, 2020. "Situated data analysis: a new method for analysing encoded power relationships in social media platforms and apps," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.

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